This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Deep Learning: It is a kind of machine learning which has a human brain-like structure. It works on the basis of logical assembly of algorithms which are known as neural networks.

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, ...

Artificial Neural Networks: Learning by Doing Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

Deep Neural Networks Help to Explain Living Brains Deep neural networks, often criticized as “black boxes,” are helping neuroscientists understand the organization of living brains. Computational ...

To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.

The deep learning pioneers believe that better neural network architectures will eventually lead to all aspects of human and animal intelligence, including symbol manipulation, reasoning, causal ...